Although job stress has become an issue of great concern over the last decades both internationally and nationally, there still remains a paucity of research in the Ghanaian insurance industry. This study therefore examined the relationship between antecedent variables (work overload, role conflict and role ambiguity) and employee job stress in the insurance industry in Ghana. Using a descriptive cross-sectional design with a survey questionnaire, 212 employees were selected to participate in the study. Pearson correlation and a two-step hierarchical regression were used to test the proposed hypotheses. Results of the analysis revealed that work overload and role conflict rather than role ambiguity were positively related to job stress. Implications for theory and practice are later discussed in the study.
Measuring the relative efficiency in insurance industry plays essential role for productivity improvement in insurance industry. In this paper, we present an empirical investigation to measure the relative efficiency of some insurance firms listed on Tehran Stock Exchange using data envelopment analysis (DEA) over the period 2011-2013. The proposed study of this paper uses four inputs namely; total assets, price to earnings ratio, beta and sigma and four outputs namely; net earnings, one-year, two-year and three-year returns. The study uses two methods of input and output oriented DEA to measures the relative efficiencies of 9 banks and the results indicate that most insurance firms perform well in terms of efficiency.
Nowadays, many organizations focus on discovering their customers’ hidden patterns to maintain their competitive position through customer analysis. In fact, more and more organizations are realizing that customers are their most valuable resources. This paper performs a research using data associated with 300 clients of an insurance company in city of Anzali, Iran and they are analyzed using K-Means clustering method. Using demographic variables including gender, age, occupation, education level, marital status, place of residence and clients’ incomes, the study determines the optimal numbers of clusters in order to achieve necessary data for grouping customers. Next, the study uses the method of association rules to find hidden patterns for the insurance industry.
This paper presents an empirical investigation to study the relationship between organization learning and organization innovation in one of Iranian insurance firm. The proposed study selects a sample of 300 employees who work for different positions for the case study of this paper and using Pearson correlation as well as Freedman tests determines the relationship and ranks different components of the survey. The results of this implementation have indicated that organization innovation influences on organizational learning, data distribution, interpretation and memory significantly but the effect of organizational innovation on data collection cannot be confirmed when the level of significance is five or even ten percent. The implementation of Freedman test has also indicated that Information interpretation is number priority followed by information learning, organizational distribution and organizational memory.
This paper presents an empirical investigation to study the effect of internet in insurance industry in Iran. The proposed study designs a questionnaire, distributes it among some experts and analyzes them based on some statistical test. The survey is conducted within insurance firms located in one of provinces of Iran. The results of the study confirm that internet influences competition among providers, bargaining power of customers as well as suppliers, significantly. In addition, internet has meaningful impacts on starting a business, the threat of substitutes, customer satisfaction, perceived image as well as perceived quality. The results of this survey emphasizes on the relative importance of internet for building a better competitive insurance industry.